\begin{table}[httt]
  \vspace{-0.5cm}
%  \small
   \centering
    \caption{Average NDCG@5 values and 95\% confidence intervals. Best results (and statistical ties) in bold.}
    
    \label{tab:ndcg}
    \begin{tabular}{l|ccccc}
    ~           & Bibsonomy          & LastFM             & MovieLens         & YahooVideo               & YouTube          \\\hline
    
$LATRE$+$wTS$&	0.397$\pm$ 0.001&0.388 $\pm$ 0.003&0.321 $\pm$ 0.009&0.744 $\pm$ 0.002&0.489 $\pm$ 0.001\\

$RankSVM$   &0.412 $\pm$ 0.002& 0.407 $\pm$ 0.002 & 0.354 $\pm$ 0.007&  0.765 $\pm$ 0.001& 0.515 $\pm$ 0.003\\
$GP$        &0.406 $\pm$ 0.006 &0.440 $\pm$ 0.008 &0.388 $\pm$ 0.002& 0.770 $\pm$ 0.0044 &0.530 $\pm$ 0.002\\
$RankBoost$ & 0.444 $\pm$ 0.002 & 0.402 $\pm$ 0.002 & 0.307 $\pm$ 0.005 & 0.696 $\pm$ 0.003 & 0.488 $\pm$ 0.002\\

$RF$    & \textbf{0.495 $\pm$ 0.003} &\textbf{0.469 $\pm$ 0.002} & \textbf{0.413 $\pm$ 0.004} & \textbf{0.803 $\pm$ 0.002} & \textbf{0.549 $\pm$ 0.002} \\
$MART$  &0.489 $\pm$ 0.002 & 0.463 $\pm$ 0.001 &0.411 $\pm$ 0.006 &0.794 $\pm$ 0.002 & 0.547 $\pm$ 0.001\\
$\lambda$-$MART$& \textbf{0.493 $\pm$ 0.002} & \textbf{0.468 $\pm$ 0.002} & \textbf{0.409 $\pm$ 0.010} & \textbf{0.802 $\pm$ 0.003} & \textbf{0.551 $\pm$ 0.002}\\

$AdaRank$ & 0.446 $\pm$ 0.004 & 0.160 $\pm$ 0.128 & 0.206 $\pm$ 0.110 & 0.653 $\pm$ 0.010 & 0.419 $\pm$ 0.032\\
$ListNet$ & 0.431 $\pm$ 0.006 & 0.380 $\pm$ 0.007 & 0.273 $\pm$ 0.012 & 0.607 $\pm$ 0.003 & 0.472 $\pm$ 0.003 \\


    \end{tabular}

\end{table}


  \begin{table}[httt]
  \vspace{-0.4cm}
%    \small
     \centering
     \caption{Average Precision@5 values and 95\% confidence intervals. Best results (and statistical ties) in bold.}
     \label{tab:precision}
     
    \begin{tabular}{l|ccccc}

    ~           & Bibsonomy          &  LastFM             & MovieLens         & YahooVideo               & YouTube          \\\hline
    $LATRE$+$wTS$   & 0.438 $\pm$ 0.002  & 0.401 $\pm$ 0.002  &	0.314 $\pm$ 0.008 & 0.733 $\pm$ 0.003	 & 0.489 $\pm$ 0.002 \\
    
    $RankSVM$         & 0.456 $\pm$ 0.003  & 0.419 $\pm$ 0.002  & 0.346 $\pm$ 0.006 & 0.754 $\pm$ 0.002   & 0.517 $\pm$ 0.003 \\ 
    $GP$          & 0.441 $\pm$ 0.009  & 0.450 $\pm$ 0.006  & 0.363 $\pm$ 0.004 & 0.755 $\pm$ 0.005   & 0.520 $\pm$ 0.002 \\
    $RankBoost$   & 0.451 $\pm$ 0.003  & 0.424 $\pm$ 0.002  & 0.366 $\pm$ 0.002 & 0.763 $\pm$ 0.003   & 0.517 $\pm$ 0.002 \\    
    
    $RF$          & \textbf{0.502 $\pm$ 0.003 } & \textbf{0.494 $\pm$ 0.001 } &  \textbf{0.386 $\pm$ 0.006} & \textbf{ 0.797 $\pm$ 0.002 } & \textbf{0.543 $\pm$ 0.002} \\
    $MART$        & 0.496 $\pm$ 0.002  & 0.489 $\pm$ 0.001  & 0.385 $\pm$ 0.002 & 0.792 $\pm$ 0.002   & 0.541 $\pm$ 0.001 \\
    $\lambda$-$MART$  & \textbf{ 0.501 $\pm$ 0.002  } &  \textbf{0.493 $\pm$ 0.002  } &  \textbf{0.385 $\pm$ 0.003} &  \textbf{ 0.797 $\pm$ 0.002 }  &  \textbf{ 0.546 $\pm$ 0.001} \\
    
    $AdaRank$     & 0.454 $\pm$ 0.003  & 0.134 $\pm$ 0.063  & 0.180 $\pm$ 0.149 & 0.712 $\pm$ 0.010   & 0.440 $\pm$ 0.038 \\
    $ListNet$     & 0.437 $\pm$ 0.006  & 0.398 $\pm$ 0.008  & 0.316 $\pm$ 0.010 & 0.661 $\pm$ 0.003   & 0.499 $\pm$ 0.003 \\

    \end{tabular}%RF & 0.495 $\pm$ 0.003 &0.469 $\pm$ 0.002 &0.322 $\pm$ 0.010 &0.729 $\pm$ 0.002 &0.513 $\pm$ 0.002 \\
%MART& 0.489 $\pm$ 0.002 & 0.463 $\pm$ 0.001 & 0.321 $\pm$ 0.006 & 0.725 $\pm$ 0.002 & 0.511 $\pm$ 0.001\\
%lambdaMART& 0.493 $\pm$ 0.002 & 0.468 $\pm$ 0.002 & 0.319 $\pm$ 0.010 & 0.729 $\pm$ 0.003 & 0.516 $\pm$ 0.002\\

   

\end{table}




  \begin{table}[httt]
  \vspace{-0.4cm}
%   \small
    \centering
    \caption{Average Recall@5 values and 95\% confidence intervals. Best results (and statistical ties) in bold.}
    \label{tab:recall}
    
    \begin{tabular}{l|ccccc}
    ~           & Bibsonomy          & LastFM             & MovieLens         & YahooVideo               & YouTube          \\\hline
    


$LATRE$+$wTS$ & 0.430 $\pm$	0.002&	0.377$\pm$	0.002&	0.250 $\pm$	0.012&	0.637$\pm$	0.002&	0.451 $\pm$	0.001\\

$RankSVM$ &0.446 $\pm$ 0.003 &0.390 $\pm$ 0.003 & 0.275 $\pm$ 0.008 & 0.651 $\pm$ 0.001 & 0.474 $\pm$ 0.003\\
$GP$ &0.431 $\pm$ 0.009 &0.415 $\pm$ 0.010 & 0.280 $\pm$ 0.005 & 0.654 $\pm$ 0.004 & 0.478 $\pm$ 0.002\\
$RankBoost$ & 0.441 $\pm$ 0.002 & 0.394 $\pm$ 0.002 & 0.287 $\pm$ 0.007 & 0.657 $\pm$ 0.003 & 0.474 $\pm$ 0.002 \\


$RF$ &  \textbf{0.491 $\pm$ 0.003} & \textbf{0.460 $\pm$ 0.002} & \textbf{0.301 $\pm$ 0.011} & \textbf{0.689 $\pm$ 0.001} & \textbf{0.498 $\pm$ 0.002} \\
$MART$ & 0.485 $\pm$ 0.002 & 0.455 $\pm$ 0.002 & 0.300 $\pm$ 0.007 & 0.685 $\pm$ 0.002 & 0.496 $\pm$ 0.001 \\
$\lambda$-$MART$ & \textbf{0.490 $\pm$ 0.002} & \textbf{0.459 $\pm$ 0.002} & \textbf{0.298 $\pm$ 0.011} & \textbf{0.690 $\pm$ 0.002} & \textbf{0.502 $\pm$ 0.001}\\

$AdaRank$ & 0.443 $\pm$ 0.004 & 0.152 $\pm$ 0.120 &  0.194 $\pm$ 0.105 & 0.618 $\pm$ 0.009 & 0.408 $\pm$ 0.030\\
$ListNet$ & 0.428 $\pm$ 0.006 & 0.374 $\pm$ 0.006 & 0.259 $\pm$ 0.012 & 0.575 $\pm$ 0.003 & 0.459 $\pm$ 0.003\\


    \end{tabular}

\end{table}